Minicharts turns spreadsheets into illustrated charts, with 54 examples

Sending colleagues a spreadsheet of expenses is easy. Getting them to actually examine it is harder. Minicharts offers a way to turn numbers into an interactive illustration: monetary amounts become stacks of coins, while a budget breakdown becomes a drawing of a pie. The practical aim is to quickly build a clear visual page for a product discussion, a report or a client project.

This is a free skill by April Zhu for Claude Code and Claude.ai. The website features 54 examples of illustrations. The creator says the graphical elements remain proportional to the original values, and the finished result opens in a browser. The main question for users, then, is whether the chosen illustration helps them understand the numbers. Original source.

How a spreadsheet becomes an illustration

Users provide a CSV file, an Excel spreadsheet, pasted cells or numbers, and explain what they mean. They can specify the chart type themselves or leave the choice to Claude. The agent builds a page in which the imagery relates to the subject of the data: sales at an umbrella shop, for example, could be represented by an umbrella viewed from above. How it works.

Consider a hypothetical example: a small team has three monthly expense categories—infrastructure, contractors and promotion. The spreadsheet lists 30, 50 and 20 thousand rubles. A prompt to the agent might read: “Show the expense breakdown, keep the labels and exact amounts, and make the values accessible when interacting with the chart.”

Start by defining the question. If you need to understand each category’s share, a pie chart is suitable. To compare expenses across months, use bars or lines. An image of coins does not make that choice for you: an attractive object can turn out to be an awkward way to compare values.

For developers, the tool offers a quick way to prepare a visual prototype. A product manager can use it to discuss data with the team. A founder can test whether a more expressive presentation works for a public report. In all three cases, it becomes valuable when readers can answer a specific question faster.

When the illustration gets in the way

Decorative charts carry an obvious risk: viewers start comparing illustrations instead of values. If perspective makes one stack of coins look bulkier than another, the visual impression can diverge from the numbers. Even correct geometry does not guarantee that people will read the image correctly.

A useful test is simple: ask a colleague to identify the largest category, estimate the difference between two values and find an exact amount. If you have to explain how the illustration works, the design needs refinement. For a work report, quick comprehension matters more than an unusual metaphor.

Also check edge cases: long names, zero values, negative amounts and large differences between categories. Hypothetical expenses of 100 and 100 thousand rubles are particularly useful for checking whether small elements remain legible. These are recommendations for evaluating the results; the source material contains no independent quality measurements.

The project page claims there is a built-in checking mechanism. However, the published description provides no basis for assuming that every generated chart has automatically been checked for accuracy and usability. Project page.

What to try in practice

A sensible first experiment is a small, familiar spreadsheet in which every number is easy to verify. Ask Claude to create a conventional version and an illustrated one, then compare which helps you make the required decision faster. For example, determine which expense category has grown the most.

Include units, the reporting period, rounding rules and required labels in the prompt from the outset. If people will view the page on a phone, check the size of the elements and whether exact values are accessible without hovering a mouse. Before publishing, also check contrast and readability.

Minicharts is distributed under the MIT license, which permits commercial use. Project terms. This makes it an accessible option for experimenting with how data is presented to clients. Start with one chart and one clear question: if the illustration helps answer it faster, it has practical value.